Wan T2V 480p LoRA Ultra Fast

Turbo-charged inference for Wan 2.1 14B. Unleashing high-res 480p text-to-video prowess with cutting-edge suite of video foundation models, LoRA effect added

Features

Wan-2.1/t2v-480p-lora-ultra-fast is an open-source AI video generation model developed by Alibaba Cloud, designed for text-to-video tasks.The 14-billion-parameter professional version excels in generating complex motions and simulating physical dynamics, delivering exceptional performance. LoRA stands for Low-Rank Adaptation, a technique for efficiently fine-tuning pre-trained models to generate videos with specified effects from reference images.

Built upon a causal 3D Variational Autoencoder (VAE) and Video Diffusion Transformer architecture, Wan-2.1/t2v-480p-lora-ultra-fast efficiently models spatiotemporal dependencies. In the authoritative VBench evaluation, the 14B version achieved a leading score of 86.22%, surpassing models like Sora, Luma, and Pika, and securing the top position. The model is available on Wavespeed AI, providing convenient access for developers.Leveraging cutting-edge acceleration techniques, Wan-2.1/t2v-480p-lora-ultra-fast pushes the limits of rapid video synthesis for creative and practical applications.

Key Features

• LoRA-Enhanced Stylization: Integrates LoRA modules to improve motion dynamics, preserve character consistency across frames, and enable style-specific generation without retraining the core model.
• Ultra-Fast Inference: Optimized with cutting-edge acceleration techniques to drastically reduce generation time, making it ideal for real-time content creation workflows.
• High-Quality 480p Video Output: Generates visually coherent and sharp 480p videos from textual descriptions, maintaining motion stability and scene integrity.
• Multilingual Visual Text Support: Capable of generating text within videos in both Chinese and English, broadening its usability across global applications.

ComfyUI

wan-2.1/t2v-480p-lora-ultra-fast is also available on ComfyUI, providing local inference capabilities through a node-based workflow. This ensures flexible and efficient video generation on your system, catering to various creative workflows.

Limitations

• Creative Use Only: This model is intended for artistic and creative synthesis. It is not designed for generating factually accurate or verifiable content.
• Input Sensitivity: The quality of generated videos may vary significantly depending on the clarity and detail of the input prompt.
• Bias & Representation: As with any AI model trained on large datasets, there may be embedded biases that affect generation outcomes.
• Resolution Boundaries: Currently supports only 480p video generation. Higher resolution variants such as 720p are available separately.

Out-of-Scope Use

The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:

• Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
• Generating or disseminating verifiably false information with the intent to harm others.
• Creating or distributing personal identifiable information that could be used to harm an individual.
• Harassing, abusing, threatening, stalking, or bullying individuals or groups.
• Producing non-consensual nudity or illegal pornographic content.
• Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
• Facilitating large-scale disinformation campaigns.

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v2/wavespeed-ai/wan-2.1/t2v-480p-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "The video shows a [z00m_ca11] with four participants. In the top left box, a medieval knight in full armor adjusts his helmet. To his right, a pirate with a parrot on his shoulder. In the bottom left, a scientist in a lab coat scribbles on a whiteboard. In the bottom right, an alien in a suit waves awkwardly",
    "negative_prompt": "",
    "loras": [
        {
            "path": "Remade-AI/Zoom-Call",
            "scale": 1
        }
    ],
    "size": "832*480",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1,
    "enable_safety_checker": true
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v2/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Query Parameters

Result Request Parameters

Result Response Parameters